The document below outlines the general expectations for advising within the Quantitative Methods in Education program. Please see your advisor for their specific approach to advising. Each student is assigned one (or more) faculty advisors upon admission to the QME track. Each student also has a backup advisor in the event the primary advisor is notavailable (e.g., sabbatical leave). These assignments are initially made based on the student’s proposed area of emphasis and research interests as stated in their application or through personal visits, as well as faculty interest and availability. Students may change their advisor as they progress through their program.
QME strives to be a premier program recognized for leadership, innovation, and excellence, and to enable human potential through the advancement of education. QME prepares students to become cutting-edge professionals in educational measurement, evaluation, statistics, and statistics education, through excellence in teaching, research, and service; and through investigating and developing research methodology in education.
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The goal of my research is to provide a practical and clear guidance for collecting and analyzing educational data, and forward the statistical theories and methods of data analysis to decipher the interplay between academic achievement and students, families and schools.